Zobrazeno 1 - 10
of 1 530
pro vyhledávání: '"Li Jialiang"'
Autor:
Li Jialiang, Li Jiaxi, Yang Yubing, He Xijing, Wei Xinyu, Tan Qinghua, Wang Yiqun, Xu Siyue, Chang Sue, Liu Weiwei
Publikováno v:
Open Life Sciences, Vol 18, Iss 1, Pp 1703608-71 (2023)
Externí odkaz:
https://doaj.org/article/94f848ec455a448caddc16b90ad6870c
Poly2Vec: Polymorphic Encoding of Geospatial Objects for Spatial Reasoning with Deep Neural Networks
Encoding geospatial data is crucial for enabling machine learning (ML) models to perform tasks that require spatial reasoning, such as identifying the topological relationships between two different geospatial objects. However, existing encoding meth
Externí odkaz:
http://arxiv.org/abs/2408.14806
Autor:
Li, Jialiang, Wang, Haoyue, Li, Sheng, Qian, Zhenxing, Zhang, Xinpeng, Vasilakos, Athanasios V.
Recently, a vast number of image generation models have been proposed, which raises concerns regarding the misuse of these artificial intelligence (AI) techniques for generating fake images. To attribute the AI-generated images, existing schemes usua
Externí odkaz:
http://arxiv.org/abs/2407.14570
This paper proposes a generative model to detect change points in time series of graphs. The proposed framework consists of learnable prior distributions for low-dimensional graph representations and of a decoder that can generate graphs from the lat
Externí odkaz:
http://arxiv.org/abs/2404.04719
Fair graph learning plays a pivotal role in numerous practical applications. Recently, many fair graph learning methods have been proposed; however, their evaluation often relies on poorly constructed semi-synthetic datasets or substandard real-world
Externí odkaz:
http://arxiv.org/abs/2403.06017
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 207, Iss , Pp 111551- (2021)
Absrtact: Oil spills have an important threat to the ecological security and human health, for example the important oil field and coastal wetland Yellow River Delta is facing the dual problems of oil pollution and salinization. Therefore, the purpos
Externí odkaz:
https://doaj.org/article/62c141ac8cab423d8c4ca376f5a890a0
Autor:
Li, Jialiang, Huang, Zitao, Yu, Chunlin, Wu, Jiajie, Zhao, Tongge, Zhu, Xiangwei, Sun, Shihai
Publikováno v:
Optics Express,Vol.32,No.4, 2024
Quantum random number generator (QRNG) utilizes the intrinsic randomness of quantum systems to generate completely unpredictable and genuine random numbers, finding wide applications across many fields. QRNGs relying on the phase noise of a laser hav
Externí odkaz:
http://arxiv.org/abs/2401.08325
Autor:
Alobaid, Khalid A., Abduallah, Yasser, Wang, Jason T. L., Wang, Haimin, Fan, Shen, Li, Jialiang, Cavus, Huseyin, Yurchyshyn, Vasyl
Publikováno v:
The Astrophysical Journal Letters, 958:L34, 2023
Coronal mass ejections (CMEs) are massive solar eruptions, which have a significant impact on Earth. In this paper, we propose a new method, called DeepCME, to estimate two properties of CMEs, namely, CME mass and kinetic energy. Being able to estima
Externí odkaz:
http://arxiv.org/abs/2312.01691
Autor:
Zeng Jianying, Qin Zilin, Zhou Liang, Fang Gang, Chen Jibing, Li Jialiang, Niu Lizhi, Liang Bing, Xu Kecheng
Publikováno v:
Radiology and Oncology, Vol 51, Iss 1, Pp 40-46 (2016)
The ablation of liver tumors located close to the gallbladder is likely to lead to complications. The aim of this article is to compare the safety and efficacy of irreversible electroporation (IRE) and cryoablation in rabbit livers at a location clos
Externí odkaz:
https://doaj.org/article/640a763d1de24004955aaef52f598f47
Graph neural networks have shown great ability in representation (GNNs) learning on graphs, facilitating various tasks. Despite their great performance in modeling graphs, recent works show that GNNs tend to inherit and amplify the bias from training
Externí odkaz:
http://arxiv.org/abs/2307.04937